Genetic factors influencing alcohol dependence
Open accessAbstract
Plentiful data from both animal and human studies support the importance of genetic influences in substance abuse and dependence (Bierut et al., 1998; Tsuang et al., 1998; Kendler et al., 2003). This review summarizes the evidence supporting such genetic influences, places them into perspective regarding animal and human studies, discusses the importance of both genes and environment, and highlights some specific genes of interest regarding the vulnerabilities for problems associated with alcohol use disorders. A long history of repetitive heavy use of alcohol exists across generations as well as the high prevalence of alcohol‐related problems in Western societies. Moreover, the information offered here addresses the importance of more general issues regarding genetics and gene expression related to alcohol abuse and dependence. British Journal of Pharmacology (2008) 154, 275–287; doi:fn1; published online 24 March 2008
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Alcohol exposure triggers changes in gene expression and biological pathways in human brain.
“Alcohol exposure triggers changes in gene expression and biological pathways in human brain.”
From Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism (2019) · cites this paper as [6]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 147 · Cited by 186
- Authors
- Mayfield, R. D., Harris, R. A., & Schuckit, M. A.
- Affiliations
- The University of Texas at Austin (US)
- University of California, San Francisco (US)
- Corresponding author
- Harris, R A
- Venue
- British Journal of Pharmacology
- Publisher
- Wiley
- Published
- 2008-05
- Volume
- 154
- Issue
- 2
- Pages
- 275-287
- ISSN
- 0007-1188 (ISSN-L)
- 1476-5381
- PMC
- PMC2442454
- OpenAlex
- W2105265004
- Cited by
- 186
- References
- 147
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2023: 4 · 2022: 6 · 2021: 1 · 2020: 9 · 2019: 9 · 2018: 5 · 2017: 13 · 2016: 12 · 2015: 9 · 2014: 20 · 2013: 20 · 2012: 15
- FWCI
- 1.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal of Pharmacology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- National Institute on Alcohol Abuse and Alcoholism (AA 12404, AA13518, U01AA013518, R01AA005526, U01AA016648, AA008401, AA016648, R01AA012404, U10AA008401)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- alcoholism, genetic susceptibility, gene-environment interaction, heritability, gene expression, animal models of alcoholism
- MeSH terms
- Alcoholism, Animals, Autopsy, Behavior, Animal, Brain Chemistry, Chromosome Mapping, Gene Expression Regulation, Genotype, Humans, Phenotype, Risk Factors, RNA, Messenger, Behavior, Addictive, Genetic Predisposition to Disease, Gene Expression Profiling, Models, Animal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review